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Search Engine Semantics
A Semantic Search Engine could be described as an agent that allows users to search at the topic level. Once a topic of interest is identified, then drill down to the specific document. Semantics is been applied these days by search engines in a few closely related fields. A possible way, is by using statistical analysis to retrieve semantic matches to a query. With this approach, they are capable of providing relational results based on the topics and keywords given by the user.
Lsi and Theme Based Relevancy
In the past 2 years, a very important factor in web content writing was keyword density, with the recommended 2 to 7% agreed by most seo experts. Well, that has changed for 2007, at least as far as Google goes. Their new patent clearly indicates the massive role that Latent Semantic Indexing is going to play in how they evaluate the relevancy of any given page and therefore its rank by closely considering co-occurrence rates and semantically related phrases, especially focusing the attention on the first one.
Lsi & Theme Based Relevancy
In the past 2 years, a very important factor in web content writing was keyword density, with the recommended 2 to 7% agreed by most seo experts. Well, that has changed for 2007, at least as far as Google goes. Their new patent clearly indicates the massive role that Latent Semantic Indexing is going to play in how they evaluate the relevancy of any given page and therefore its rank by closely considering co-occurrence rates and semantically related phrases, especially focusing the attention on the first one.
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